公开(公告)号：US20210150663A1

公开(公告)日：2021-05-20

申请号：US17095590

申请日：2020-11-11

申请人： Intel Corporation

发明人： Subramaniam Maiyuran ,  Durgaprasad Bilagi ,  Joydeep Ray ,  Scott Janus ,  Sanjeev Jahagirdar ,  Brent Insko ,  Lidong Xu ,  Abhishek R. Appu ,  James Holland ,  Vasanth Ranganathan ,  Nikos Kaburlasos ,  Altug Koker ,  Xinmin Tian ,  Guei-Yuan Lueh ,  Changliang Wang

IPC分类号： G06T1/60 ,  G06T1/20 ,  G06N5/04 ,  G06F12/0802

摘要： Embodiments described herein are generally directed to improvements relating to power, latency, bandwidth and/or performance issues relating to GPU processing/caching. According to one embodiment, a system includes a producer intellectual property (IP) (e.g., a media IP), a compute core (e.g., a GPU or an AI-specific core of the GPU), a streaming buffer logically interposed between the producer IP and the compute core. The producer IP is operable to consume data from memory and output results to the streaming buffer. The compute core is operable to perform AI inference processing based on data consumed from the streaming buffer and output AI inference processing results to the memory.

公开(公告)号：US20210133913A1

公开(公告)日：2021-05-06

申请号：US17069188

申请日：2020-10-13

申请人： Intel Corporation

发明人： Naveen Matam ,  Lance Cheney ,  Eric Finley ,  Varghese George ,  Sanjeev Jahagirdar ,  Altug Koker ,  Josh Mastronarde ,  Iqbal Rajwani ,  Lakshminarayanan Striramassarma ,  Melaku Teshome ,  Vikranth Vemulapalli ,  Binoj Xavier

IPC分类号： G06T1/20 ,  G06F13/40

摘要： Embodiments described herein provide techniques to disaggregate an architecture of a system on a chip integrated circuit into multiple distinct chiplets that can be packaged onto a common chassis. In one embodiment, a graphics processing unit or parallel processor is composed from diverse silicon chiplets that are separately manufactured. A chiplet is an at least partially packaged integrated circuit that includes distinct units of logic that can be assembled with other chiplets into a larger package. A diverse set of chiplets with different IP core logic can be assembled into a single device.

公开(公告)号：US10817042B2

公开(公告)日：2020-10-27

申请号：US16144538

申请日：2018-09-27

申请人： Intel Corporation

发明人： Kinchit Desai ,  Sanjeev Jahagirdar ,  Prasoonkumar Surti ,  Joydeep Ray

IPC分类号： G06F1/3237 ,  G06N3/04 ,  G06N3/08 ,  G06F1/3234 ,  G06F1/3206

摘要： Embodiments are generally directed to providing power savings for a neural network architecture with zero activations during inference. An embodiment of an apparatus includes one or more processors including one or more processor cores; and a memory to store data for processing including neural network processing, wherein the apparatus to perform a fast clear operation to initialize activation buffers for a neural network by updating metadata to indicate zero values, the neural network including a plurality of layers, wherein the apparatus is to compare outputs for the neural network to the metadata values and to write an output to memory only if the output is non-zero.

公开(公告)号：US10747286B2

公开(公告)日：2020-08-18

申请号：US16004647

申请日：2018-06-11

申请人： Intel Corporation

发明人： Nikos Kaburlasos ,  Iqbal Rajwani ,  Bhushan Borole ,  Kamal Sinha ,  Sanjeev Jahagirdar

IPC分类号： G06F1/00 ,  G06F11/30 ,  G06F1/28

摘要： Dynamic power budget allocation in a multi-processor system is described. In an example, an apparatus includes a plurality of processor units; and a power control component, the power control component to monitor power utilization of each of the plurality of processor units, wherein power consumed by the plurality of processor units is limited by a global power budget. The apparatus is to assign a workload to each of the processor units and is to establish an initial power budget for operation of each of the processor units, and, upon the apparatus determining that one or more processor units require an increased power budget based on one or more criteria, the apparatus is to dynamically reallocate an amount of the global power budget to the one or more processor units.

公开(公告)号：US20190377395A1

公开(公告)日：2019-12-12

申请号：US16004647

申请日：2018-06-11

申请人： Intel Corporation

发明人： Nikos Kaburlasos ,  Iqbal Rajwani ,  Bhushan Borole ,  Kamal Sinha ,  Sanjeev Jahagirdar

IPC分类号： G06F1/28

摘要： Embodiments are generally directed to dynamic power budget allocation in a multi-processor system. An embodiment of an apparatus includes a plurality of processor units; and a power control component, the power control component to monitor power utilization of each of the plurality of processor units, wherein power consumed by the plurality of processor units is limited by a global power budget. The apparatus is to assign a workload to each of the processor units and is to establish an initial power budget for operation of each of the processor units, and, upon the apparatus determining that one or more processor units require an increased power budget based on one or more criteria, the apparatus is to dynamically reallocate an amount of the global power budget to the one or more processor units.

公开(公告)号：US10304154B2

公开(公告)日：2019-05-28

申请号：US15495054

申请日：2017-04-24

申请人： Intel Corporation

发明人： Abhishek R. Appu ,  Altug Koker ,  John C. Weast ,  Mike B. Macpherson ,  Linda L. Hurd ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Prasoonkumar Surti ,  Chandrasekaran Sakthivel ,  Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan ,  Dukhwan Kim

IPC分类号： G06T1/20 ,  G06N3/08

摘要： A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.

公开(公告)号：US10303953B2

公开(公告)日：2019-05-28

申请号：US15488555

申请日：2017-04-17

申请人： Intel Corporation

发明人： Mayuresh M. Varerkar ,  Barnan Das ,  Narayan Biswal ,  Stanley J. Baran ,  Gokcen Cilingir ,  Nilesh V. Shah ,  Archie Sharma ,  Sherine Abdelhak ,  Sachin Godse ,  Farshad Akhbari ,  Narayan Srinivasa ,  Altug Koker ,  Nadathur Rajagopalan Satish ,  Dukhwan Kim ,  Feng Chen ,  Abhishek R. Appu ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Anbang Yao ,  Tatiana Shpeisman ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC分类号： H04N5/225 ,  H04N3/20 ,  G06K9/00 ,  G06T1/20 ,  H04N5/228 ,  H04N7/14 ,  H04N5/38

摘要： A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

公开(公告)号：US20180315399A1

公开(公告)日：2018-11-01

申请号：US15819152

申请日：2017-11-21

申请人： Intel Corporation

发明人： Himanshu Kaul ,  Mark A. Anders ,  Sanu K. Mathew ,  Anbang Yao ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Rajkishore Barik ,  Tsung-Han Lin ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC分类号： G09G5/36 ,  G06T1/20 ,  G09G5/393 ,  G06N99/00 ,  G06T15/00

CPC分类号： G06F9/3001 ,  G06F7/483 ,  G06F7/5443 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3851 ,  G06F2207/3824 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00 ,  G06T15/005 ,  G09G5/393

摘要： One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute a 32-bit intermediate product of 16-bit operands and to compute a 32-bit sum based on the 32-bit intermediate product.

公开(公告)号：US20180315398A1

公开(公告)日：2018-11-01

申请号：US15787129

申请日：2017-10-18

申请人： Intel Corporation

发明人： Himanshu Kaul ,  Mark A. Anders ,  Sanu K. Mathew ,  Anbang Yao ,  Joydeep Ray ,  Ping T. Tang ,  Michael S. Strickland ,  Xiaoming Chen ,  Tatiana Shpeisman ,  Abhishek R. Appu ,  Altug Koker ,  Kamal Sinha ,  Balaji Vembu ,  Nicolas C. Galoppo Von Borries ,  Eriko Nurvitadhi ,  Rajkishore Barik ,  Tsung-Han Lin ,  Vasanth Ranganathan ,  Sanjeev Jahagirdar

IPC分类号： G09G5/36 ,  G06T1/20 ,  G09G5/393

CPC分类号： G06F9/3001 ,  G06F7/483 ,  G06F7/5443 ,  G06F9/30014 ,  G06F9/30036 ,  G06F9/3851 ,  G06F2207/3824 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/063 ,  G06N3/08 ,  G06N20/00 ,  G06T15/005 ,  G09G5/393

摘要： One embodiment provides for a machine-learning hardware accelerator comprising a compute unit having an adder and a multiplier that are shared between integer data path and a floating-point datapath, the upper bits of input operands to the multiplier to be gated during floating-point operation.

公开(公告)号：US20180308202A1

公开(公告)日：2018-10-25

申请号：US15495054

申请日：2017-04-24

申请人： Intel Corporation

发明人： Abhishek R. Appu ,  Altug Koker ,  John C. Weast ,  Mike B. Macpherson ,  Linda L. Hurd ,  Sara S. Baghsorkhi ,  Justin E. Gottschlich ,  Prasoonkumar Surti ,  Chandrasekaran Sakthivel ,  Liwei Ma ,  Elmoustapha Ould-Ahmed-Vall ,  Kamal Sinha ,  Joydeep Ray ,  Balaji Vembu ,  Sanjeev Jahagirdar ,  Vasanth Ranganathan ,  DUKHWAN Kim

IPC分类号： G06T1/20 ,  G06N3/08

CPC分类号： G06T1/20 ,  G06N3/08

摘要： A mechanism is described for facilitating inference coordination and processing utilization for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, at training time, information relating to one or more tasks to be performed according to a training dataset relating to a processor including a graphics processor. The method may further include analyzing the information to determine one or more portions of hardware relating to the processor capable of supporting the one or more tasks, and configuring the hardware to pre-select the one or more portions to perform the one or more tasks, while other portions of the hardware remain available for other tasks.